Change-point models for identifying behavioral transitions in wild animals.

ABSTRACT: Animal behavior can be difficult, time-consuming, and costly to observe in the field directly. Innovative modeling methods, such as hidden Markov models (HMMs), allow researchers to infer unobserved animal behaviors from movement data, and implementations often assume that transitions between states occur multiple times. However, some behavioral shifts of interest, such as parturition, migration initiation, and juvenile dispersal, may only occur once during an observation period, and HMMs may not be the best approach to identify these changes. We present two change-point models for identifying single transitions in movement behavior: a location-based change-point model and a movement metric-based change-point model. We first conducted a simulation study to determine the ability of these mo

SUBMITTER: Gundermann KP 

PROVIDER: S-EPMC10589947 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature